interview

PODCAST · technology

interview

Interviewer: Greg, you’ve hinted that you’ve been on quite a personal journey with AI over the past few years. Where does that story begin?Greg Clarke: About six years ago. At the time, our CTO was exploring whether GPT-2 could be used as a hacking tool. We were testing its coherence and whether it could generate functional commands. What we found was — it couldn’t. It was barely coherent. The outputs were fragmented. It just wasn’t capable of that kind of functionality.Interviewer: That’s a fascinating origin point, given how far these models have come. What were you working on alongside that exploration?Greg: We’d already started building a no-code tool for local government — right after COVID. The idea was simple: help councils deploy services quickly without relying on stretched IT teams. The pandemic exposed the gap between pace of need and pace of delivery. We couldn’t iterate fast enough during the crisis. That became our inspiration — to put tools directly into councils’ han

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Interviewer: Greg, you’ve hinted that you’ve been on quite a personal journey with AI over the past few years. Where does that story begin?Greg Clarke: About six years ago. At the time, our CTO was exploring whether GPT-2 could be used as a hacking tool. We were testing its coherence and whether it could generate functional commands. What we found was — it couldn’t. It was barely coherent. The outputs were fragmented. It just wasn’t capable of that kind of functionality.Interviewer: That’s a fascinating origin point, given how far these models have come. What were you working on alongside that exploration?Greg: We’d already started building a no-code tool for local government — right after COVID. The idea was simple: help councils deploy services quickly without relying on stretched IT teams. The pandemic exposed the gap between pace of need and pace of delivery. We couldn’t iterate fast enough during the crisis. That became our inspiration — to put tools directly into councils’ han

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